Antibodies Contributing to Focal Epilepsy Signs and Symptoms Score
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, multicentrická studie, pozorovací studie, práce podpořená grantem
PubMed
33427313
PubMed Central
PMC8048471
DOI
10.1002/ana.26013
Knihovny.cz E-zdroje
- MeSH
- autoimunitní nemoci diagnostické zobrazování imunologie psychologie MeSH
- autoprotilátky analýza MeSH
- chování MeSH
- dospělí MeSH
- elektroencefalografie MeSH
- epilepsie parciální diagnostické zobrazování imunologie psychologie MeSH
- glutamát dekarboxyláza genetika imunologie MeSH
- kognitivní poruchy etiologie psychologie MeSH
- kohortové studie MeSH
- lidé MeSH
- magnetická rezonanční tomografie MeSH
- prospektivní studie MeSH
- rizikové faktory MeSH
- záchvaty diagnostické zobrazování etiologie imunologie MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- pozorovací studie MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
- Nizozemsko MeSH
- Názvy látek
- autoprotilátky MeSH
- glutamát dekarboxyláza MeSH
- glutamate decarboxylase 2 MeSH Prohlížeč
OBJECTIVE: Diagnosing autoimmune encephalitis (AIE) is difficult in patients with less fulminant diseases such as epilepsy. However, recognition is important, as patients require immunotherapy. This study aims to identify antibodies in patients with focal epilepsy of unknown etiology, and to create a score to preselect patients requiring testing. METHODS: In this prospective, multicenter cohort study, adults with focal epilepsy of unknown etiology, without recognized AIE, were included, between December 2014 and December 2017, and followed for 1 year. Serum, and if available cerebrospinal fluid, were analyzed using different laboratory techniques. The ACES score was created using factors favoring an autoimmune etiology of seizures (AES), as determined by multivariate logistic regression. The model was externally validated and evaluated using the Concordance (C) statistic. RESULTS: We included 582 patients, with median epilepsy duration of 8 years (interquartile range = 2-18). Twenty patients (3.4%) had AES, of whom 3 had anti-leucine-rich glioma inactivated 1, 3 had anti-contactin-associated protein-like 2, 1 had anti-N-methyl-D-aspartate receptor, and 13 had anti-glutamic acid decarboxylase 65 (enzyme-linked immunosorbent assay concentrations >10,000IU/ml). Risk factors for AES were temporal magnetic resonance imaging hyperintensities (odds ratio [OR] = 255.3, 95% confidence interval [CI] = 19.6-3332.2, p < 0.0001), autoimmune diseases (OR = 13.31, 95% CI = 3.1-56.6, p = 0.0005), behavioral changes (OR 12.3, 95% CI = 3.2-49.9, p = 0.0003), autonomic symptoms (OR = 13.3, 95% CI = 3.1-56.6, p = 0.0005), cognitive symptoms (OR = 30.6, 95% CI = 2.4-382.7, p = 0.009), and speech problems (OR = 9.6, 95% CI = 2.0-46.7, p = 0.005). The internally validated C statistic was 0.95, and 0.92 in the validation cohort (n = 128). Assigning each factor 1 point, an antibodies contributing to focal epilepsy signs and symptoms (ACES) score ≥ 2 had a sensitivity of 100% to detect AES, and a specificity of 84.9%. INTERPRETATION: Specific signs point toward AES in focal epilepsy of unknown etiology. The ACES score (cutoff ≥ 2) is useful to select patients requiring antibody testing. ANN NEUROL 2021;89:698-710.
August Pi i Sunyer Biomedical Research Institute Barcelona Spain
Department of Immunology Erasmus MC University Medical Center Rotterdam the Netherlands
Department of Neurology Erasmus MC University Medical Center Rotterdam the Netherlands
Department of Neurology Leiden University Medical Center Leiden the Netherlands
Department of Neurology Maastricht University Medical Center Maastricht the Netherlands
Department of Neurology Stichting Epilepsie Instellingen Nederland Heemstede the Netherlands
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